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For Companies At a Glance
- Tasks: Connect top talent with innovative biotech and deep-tech companies across Europe and the US.
- Company: Join a dynamic team focused on transforming drug discovery through computational science and AI.
- Benefits: Enjoy dedicated sales support, allowing you to focus on building relationships and driving success.
- Why this job: Be at the forefront of biotech innovation while developing expertise in a fast-paced, impactful sector.
- Qualifications: Experience in recruitment within computational sciences is essential; AI/ML experience is a plus.
- Other info: Work independently while managing recruitment processes across multiple regions.
The predicted salary is between 36000 - 60000 £ per year.
We're looking for a Senior Consultant in Computational Science and Scientific Engineering, to join our team.
Join a warm desk with an active client base across Europe and the US. You'll be working with cutting-edge biotech and deep-tech companies, from early-stage start-ups to mid-sized firms, driving innovation in bio/cheminformatics, computational biology/chemistry, and AI-powered drug discovery. These organisations are pioneering advances in genomics, precision medicine, and AI-driven drug development, transforming how therapies are discovered and developed.
Your role will be to connect high-calibre talent – from computational scientists and software engineers to machine learning specialists – with industry-leading companies. You’ll build deep, long-term relationships in a highly technical and fast-moving sector, acting as a true specialist in the field.
Why join us?
We believe consultants should focus on what truly drives success, building relationships with clients and candidates. That’s why every consultant is assigned a dedicated sales support specialist, allowing them to spend more time in high-value activities rather than getting caught up in administrative tasks. This structure enables our team to deliver a more consistent, high-quality service, achieve greater success, and operate at a level that wouldn’t be possible alone.
Responsibilities
- Partner with biotech and TechBio companies to understand their hiring needs and provide expert recruitment solutions in computational biology and chemistry, bio/cheminformatics, and scientific engineering.
- Build and maintain strong relationships with clients and candidates across Europe and the US, acting as a strategic talent advisor rather than a transactional recruiter.
- Stay ahead of emerging trends in computational sciences, and AI/ML, continuously developing expertise in this space.
- Provide guidance on hiring strategies, market trends, and talent acquisition best practices to help businesses scale effectively.
- Work closely with founders, scientific leaders, and hiring teams to support the growth of pioneering computational science teams.
Requirements
- Must have experience in recruitment across the computational sciences (cheminformatics, bioinformatics, computational chemistry and computational biology). Experience within AI/ML, in biotech is a bonus.
- A strong interest in deep tech, computational science, and AI-driven life sciences, with a desire to develop expertise in this sector.
- Excellent interpersonal skills, with a focus on building long-term professional relationships.
- The ability to work independently and manage recruitment processes across multiple regions.
Senior Consultant – Computational Science & Scientific Engineering employer: Aspire Life Sciences Search
Contact Detail:
Aspire Life Sciences Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Consultant – Computational Science & Scientific Engineering
✨Tip Number 1
Familiarize yourself with the latest trends in computational science and AI-driven drug discovery. This knowledge will not only help you understand the needs of your clients better but also position you as a knowledgeable consultant who can provide valuable insights.
✨Tip Number 2
Network actively within the biotech and deep-tech communities. Attend industry conferences, webinars, and meetups to connect with potential clients and candidates. Building these relationships will be crucial for your success in this role.
✨Tip Number 3
Leverage social media platforms like LinkedIn to showcase your expertise in computational sciences. Share relevant articles, engage in discussions, and connect with professionals in the field to enhance your visibility and credibility.
✨Tip Number 4
Stay updated on the specific hiring needs of biotech companies by following their news and developments. Understanding their challenges and goals will allow you to tailor your recruitment strategies effectively and position yourself as a strategic advisor.
We think you need these skills to ace Senior Consultant – Computational Science & Scientific Engineering
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description. Understand the key responsibilities and requirements, especially the focus on computational sciences and recruitment experience.
Tailor Your CV: Customize your CV to highlight relevant experience in computational science, recruitment, and any exposure to AI/ML. Emphasize your ability to build relationships and your understanding of the biotech sector.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for deep tech and computational sciences. Explain why you are interested in this role and how your background aligns with the company's mission and values.
Showcase Your Expertise: In your application, mention any specific projects or experiences that demonstrate your knowledge in bioinformatics, cheminformatics, or AI-driven drug discovery. This will help you stand out as a candidate who understands the industry.
How to prepare for a job interview at Aspire Life Sciences Search
✨Show Your Expertise in Computational Sciences
Make sure to highlight your experience in recruitment within computational sciences, such as cheminformatics and bioinformatics. Be prepared to discuss specific projects or roles you've successfully filled in these areas to demonstrate your knowledge and expertise.
✨Understand the Industry Trends
Stay updated on the latest trends in biotech and deep-tech, especially in AI-driven drug discovery and computational biology. Being able to discuss current advancements and how they impact recruitment will show your commitment and understanding of the field.
✨Emphasize Relationship Building
Since the role focuses on building long-term relationships, be ready to share examples of how you've successfully developed and maintained client and candidate relationships in the past. Highlight your interpersonal skills and your approach to being a strategic talent advisor.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities and how you would handle specific recruitment challenges in the computational sciences sector. Think about past experiences where you navigated complex hiring needs and be ready to discuss them.
